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What is Statistical Modeling

Handbook of Research on the Adverse Effects of Pesticide Pollution in Aquatic Ecosystems
A statistical model is a class of mathematical model that provides a set of assumptions concerning the generation of some sample data.
Published in Chapter:
Computational Tools and Techniques to Predict Aquatic Toxicity of Some Halogenated Pollutants
Raghunath Satpathy (Majhighariani Institute of Technology and Science, India)
DOI: 10.4018/978-1-5225-6111-8.ch018
Abstract
Halogenated organic compounds are usually xenobiotic in nature and used as ingredients for the synthesis of pesticides, solvents, surfactants, and plastics. However, their introduction to the aquatic ecosystems resulted in ecological danger due to their toxic effects. The usual method of toxicity assessment is by performing the experimental approach by considering some model organism. In this aspect the computational techniques such as QSAR (quantitative structure activity relationship) is considered an effective method. By computing several molecular features and the experimental activity, the toxic effect of a compound can be correlated. This chapter describes the aquatic toxicity of the compounds. The information about different computational resources (databases, tools, and modeling tools) have been given. Also, the application of QSAR to predict aquatic toxicity of different halogenated compounds available in the literature has been reviewed.
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Data Analysis in Context-Based Statistical Modeling in Predictive Analytics
It represents a mathematical model which encompasses statistical assumptions to interpret the available data for approximating reality.
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Network Science for Communication Engineering
Statistical modeling is the process or combination of processes in which the statistical information play the key roles.
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